lets_plot.facet_grid¶
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lets_plot.facet_grid(x=None, y=None, x_order=1, y_order=1, x_format=None, y_format=None)¶ Splits data by one or two faceting variables. For each data subset creates a plot panel and lays out panels as grid. The grid columns are defined by X faceting variable and rows are defined by Y faceting variable.
- Parameters
x (str) – Variable name which defines columns of the facet grid.
y (str) – Variable name which defines rows of the facet grid.
x_order (int, default=1) – Specifies ordering direction of columns. 1 - ascending, -1 - descending.
y_order (int, default=1) – Specifies ordering direction of rows. 1 - ascending, -1 - descending.
x_format (str) – Specifies the format pattern for displaying faceting values in columns.
y_format (str) – Specifies the format pattern for displaying faceting values in rows.
- Returns
Facet grid specification.
- Return type
FeatureSpec
Note
Format pattern in the x_format / y_format parameters can be just a number format (like ‘d’) or a string template where number format is surrounded by curly braces: “{d} cylinders”.
For example:
‘.2f’ -> ‘12.45’,
‘Score: {.2f}’ -> ‘Score: 12.45’,
‘Score: {}’ -> ‘Score: 12.454789’.
For more info see the formatting reference.
Examples
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import numpy as np from lets_plot import * LetsPlot.setup_html() n = 100 np.random.seed(42) x = np.random.normal(size=n) group = np.random.choice(['a', 'b'], size=n) ggplot({'x': x, 'group': group}, aes(x='x')) + \ geom_histogram() + facet_grid(x='group')
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import numpy as np from lets_plot import * LetsPlot.setup_html() n = 1000 np.random.seed(42) x = np.random.normal(size=n) p = [1/6, 1/3, 1/2] y = np.random.choice(p, size=n, p=p) ggplot({'x': x, 'y': y}, aes(x='x')) + \ geom_histogram() + \ facet_grid(y='y', y_order=-1, y_format='.2f')